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Hello Gemini 2.5 Flash-Lite! So fast, it codes each screen on the fly (Neural OS concept 👇). The frontier isn't always about large models and beating benchmarks. In this case, a super fast & good model can unlock drastic use cases. Read more:

Oriol Vinyals

180,428 subscribers

405,746 次观看 • 1 年前 •via X (Twitter)

科学技术教育

Anya Rossi• Live Now

Private livecam show

10 条评论

Serçiya^ سەرچیا 的头像

Serçiya^ سەرچیا1 年前

What are some useful cases for this?

AJ - e/acc 🚀🇨🇴🇵🇷 的头像

AJ - e/acc 🚀🇨🇴🇵🇷1 年前

It's FAST!

HarrisonAIX 的头像

HarrisonAIX1 年前

what's the Gemini VScode extension using nowadays? Gemini 2.5 Flash-Lite? From what I gather, users can't justify ultra and pro is a necessity. The extension being updated would be next level.

Chris 的头像

Chris1 年前

Apps could just be APIs, where the users can just ask for whatever UI they want and the LLMs will build it

Suman 的头像

Suman1 年前

While aiming for better responsiveness with Neural OS ideas, we need to think carefully about how well the model works in different situations, keep user data safe in complex systems, and ensure clear rules for user experiences that change.

Chanchal 💬 的头像

Chanchal 💬1 年前

mind blowing 😲

BlockRadar 的头像

BlockRadar1 年前

Alpha tech, WAGMI

Jesahn O 的头像

Jesahn O1 年前

Best use cases?

Djasnive Rajaona 的头像

Djasnive Rajaona1 年前

@GoogleDeepMind What the heck

Sic Semper Salustri🏴‍☠️ 的头像

Sic Semper Salustri🏴‍☠️1 年前

@GoogleDeepMind 👀

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Watch how fast Gemini 3.1 Flash-Lite can generate websites. ⚡ This browser creates each page in real-time as you click, search, and navigate. Give it a try →

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Google DeepMind

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66,696 次观看 • 3 个月前

⚡️ Gemini 2.5 Flash and Pro are now stable, plus a new model joins the family: Flash-Lite, built for speed and efficiency at scale. Great for summarization, classification, and more → #GoogleDeveloperNews

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Google for Developers

14,319 次观看 • 11 个月前

Sundar Pichaei on Gemini 3.0 Flash&more: "We don't have Flash yet. We don't have any of, any of our other sort of models in the, in the 3.0 category" "Every 6 months or so, we are pushing that frontier." "Gemini Flash 3.0, we are working on, and is coming"

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Chubby♨️

72,776 次观看 • 6 个月前

Co-designing Gemini 2.5 Flash-Lite with the Trillium TPU was the key to unlocking the lightning speeds of 2.5 Flash-Lite. This Infinite Wiki by Dev Valladares is an incredible demonstration of what is possible with this model. We're so excited to see what you continue to build!

Co-designing Gemini 2.5 Flash-Lite with the Trillium TPU was the key to unlocking the lightning speeds of 2.5 Flash-Lite. This Infinite Wiki by Dev Valladares is an incredible demonstration of what is possible with this model. We're so excited to see what you continue to build!

Google AI

49,961 次观看 • 11 个月前

Announcing Gemini 3.1 Flash-Lite! ⚡️📷 Our fastest and most cost-efficient Gemini 3 series model yet. A 45 % increase in output speed and it outperforms 2.5 Flash. It also has dynamic thinking levels to match task complexity. Demo:

Announcing Gemini 3.1 Flash-Lite! ⚡️📷 Our fastest and most cost-efficient Gemini 3 series model yet. A 45 % increase in output speed and it outperforms 2.5 Flash. It also has dynamic thinking levels to match task complexity. Demo:

Addy Osmani

52,727 次观看 • 3 个月前

AI has its PhD and now it’s on the job market. Introducing the AI Productivity Index (APEX), a benchmark that measures how well we’ve automated the most valuable industries in the world. Most benchmarks study abstract capabilities. APEX evaluates model performance on real deliverables across law, finance, consulting, and medicine. The models most capable of doing work today, according to APEX: 🥇 GPT 5 🥈 Grok 4 🥉 Gemini 2.5 Flash Other findings: - GPT 5 demonstrates the strongest performance across all 4 domains - Some cheaper models outperform more expensive models from the same provider (e.g. Gemini 2.5 Flash vs. Gemini 2.5 Pro) - The best open source model, Qwen (7th), performs only 2% behind Grok 4 overall

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Brendan (can/do)

451,298 次观看 • 8 个月前

Gemini 3.5 Flash vs Composer 2.5 Fast 🏁 Running the same task on the iOS simulator using Argent Gemini finished over 2x faster 🤯

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65,884 次观看 • 1 个月前

Gemini 2.5 Flash can control a browser! Excited to share Gemini Browser Agent, a simple Python script example on how to use Google DeepMind Gemini 2.5 Flash and Browser Use to act as general assistant! 🤯 Usage Examples: 1⃣ Single Query Mode: `python scripts/gemini-browser-use.py --url --query "Summarize the key features of Gemini 2.5 Flash."` 2⃣Interactive Mode: Start an interactive session, optionally with a starting URL. `python scripts/gemini-browser-use.py` Command-line options: --model: The Gemini model to use (default: gemini-2.5-flash-preview-04-17) --headless: Run the browser in headless mode --url: Starting URL for the browser to navigate to before processing the query --query: Run a single query and exit (instead of interactive mode) Time to build a replication of Manus and OpenAI Operator powered by Gemini 2.5. Code below ⬇️

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Philipp Schmid

105,308 次观看 • 1 年前

🚨 Gemini 3.0 Flash > one shotted this trip on globe planner > super fast and to the point > i think this will be beast in gemini cli for faster and to the point coding

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Chetaslua

36,421 次观看 • 8 个月前

Gemini 2.5 Flash Preview is an amazing model. Google is literally winning. No stopping them now, this is not normal. Gemini 2.5 Flash is very cheap and super intelligent model. Intelligence too cheap to meter this is what it means. Thank you, Google.

Gemini 2.5 Flash Preview is an amazing model. Google is literally winning. No stopping them now, this is not normal. Gemini 2.5 Flash is very cheap and super intelligent model. Intelligence too cheap to meter this is what it means. Thank you, Google.

AshutoshShrivastava

154,366 次观看 • 1 年前

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Google

119,117 次观看 • 6 个月前

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258,038 次观看 • 11 个月前

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Google AI

229,722 次观看 • 6 个月前

Playing Pokemon with LLMs became a benchmark, but what about Super Mario? Turns out Google DeepMind Gemini 2.0 Flash can play Super Mario in real-time due to its fast latency, multimodal input and long context! 🎮 Gemini 2.0 Flash receives screenshots of the game and then generates Python code (PyAutoGUI commands) for each screenshot to control the game for a short period (the next 1 or 2 seconds). Add a while loop to it and you have it play in real-time. 🤯

Playing Pokemon with LLMs became a benchmark, but what about Super Mario? Turns out Google DeepMind Gemini 2.0 Flash can play Super Mario in real-time due to its fast latency, multimodal input and long context! 🎮 Gemini 2.0 Flash receives screenshots of the game and then generates Python code (PyAutoGUI commands) for each screenshot to control the game for a short period (the next 1 or 2 seconds). Add a while loop to it and you have it play in real-time. 🤯

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153,067 次观看 • 1 年前